64 Open source projects that are alternatives of or similar to recipe1m.bootstrap.pytorch

Metric learning algorithms in Python

A comprehensive survey of deep metric learning and related works

Awesome Few-shot learning

Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)

Official Tensorflow implementation of "Symmetrical Synthesis for Deep Metric Learning" (AAAI 2020)

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

https://www.kaggle.com/c/humpback-whale-identification

Code for Supervised Word Mover's Distance (SWMD)

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

Finetuning any DNN for better embedding on neural search tasks

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

Hierarchical Co-occurrence Network with Prototype Loss for Few-shot Learning (PyTorch)

PyTorch code for BMVC 2018 paper: "Self-Paced Learning with Adaptive Visual Embeddings"

A simple yet effective loss function for face verification.

Deep Metric and Hash Code Learning Network for Content Based Retrieval of Remote Sensing Images

In defence of metric learning for speaker recognition

Source code for the paper "Divide and Conquer the Embedding Space for Metric Learning", CVPR 2019

Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019

(CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet mining with Reinforcement Learning.

Adversarial Ranking Attack and Defense, ECCV, 2020.

(ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)

Project page for Heated-up Softmax Embedding

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Official PyTorch implementation of "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning" (AAAI 2021)

Open source person re-identification library in python

Local Fisher Discriminant Analysis in R

The first fully convolutional metric learning for geometric/semantic image correspondences.

awesome few shot / meta learning papers

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Learning Tree structures and Tree metrics

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Improved Deep Metric Learning with Multi-class N-pair Loss Objective

PyTorch Implementation for Deep Metric Learning Pipelines

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Official source code of "Batch DropBlock Network for Person Re-identification and Beyond" (ICCV 2019)

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

A PyTorch library for benchmarking deep metric learning. It's powerful.

Accelerated deep learning R&D

Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Papers and Codes about Deep Metric Learning/Deep Embedding

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

Playground of Metric Learning with MNIST @pytorch. We provide ArcFace, CosFace, SphereFace, CircleLoss and visualization.

Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

Deep metric learning methods implemented in Chainer

scLearn：Learning for single cell assignment

Code for NeurIPS 2019 Paper

Generalized Deep Metric Learning.

Generalized Product Quantization Network For Semi-supervised Image Retrieval - CVPR 2020

SegSort: Segmentation by Discriminative Sorting of Segments